There have been many published studies aiming to identify temporal changes in river flow time series, most of which use monotonic trend tests such as the Mann–Kendall test. Although robust to both the distribution of the data and incomplete records, these tests have important limitations and provide no information as to whether a change in variability mirrors a change in magnitude. This study d...

The present study examined the effect of grouped meta-cognitive therapy on meta-cognitive beliefs of patients' suffering from generalized anxiety disorder. This research is a quasi-experimental with pre-test and post-test design with control group in which two groups of experiment and control are used. The present study population includes all state universities, Islamic Azad Universities of Ta...

This article addresses a single row facility layout problem where the objective is to optimize the arrangement of some rectangular facilities with different dimensions on a line. Regarding the NP-Hard nature of the considered problem, a hybrid meta-heuristic algorithm based on simulated annealing has been proposed to obtain a near optimal solution. A number of test problems are randomly generat...

This paper presents two meta-heuristic algorithms to solve an extended portfolio selection model. The extended model is based on the Markowitz's Model, aiming to minimize investment risk in a specified level of return. In order to get the Markowitz model close to the real conditions, different constraints were embedded on the model which resulted in a discrete and non-convex solution space. ...

One of the sources of heterogeneity of ontologies is that different ontologies have different necessities of modelling. This paper presents a biphase method to deal with these different necessities. Phase I of the method models how to model the ontology, obtaining a meta-model. Such meta-model can be expressed in LBIR, a formal and declarative language that has been specifically designed for th...

One of the sources of heterogeneity of ontologies is that different ontologies have different necessities of modelling. This paper presents a biphase method to deal with these different necessities. Phase I of the method models how to model the ontology, obtaining a meta-model. Such meta-model can be expressed in LBIR, a formal and declarative language that has been specifically designed for th...

the current research analyzed and combined the results of research on the effect of family education in parenting using meta-analysis method. among 26 studies about family education 20 were selected, for meta-analysis study in terms of different parts of research methodology such as research and hypotheses questions, statistic society, sampling, and research method, instruments statistical meth...

one of the most important extensions of the capacitated vehicle routing problem (cvrp) is the vehicle routing problem with simultaneous pickup and delivery (vrpspd) where customers require simultaneous delivery and pick-up service. in this paper, we propose an effective ant colony optimization (eaco) which includes insert, swap and 2-opt moves for solving vrpspd that is different with common an...

BACKGROUND Meta-analysis is intended as a tool for the objective synthesis of evidence across a literature, in order to obtain the best evidence as to whether or not an association or effect is robust. However, as the use of meta-analysis has proliferated it has become increasingly clear that the results of a meta-analysis can be critically sensitive to methodological and analytical choices, so...

Collective classification approaches exploit the dependencies of a group of linked objects whose class labels are correlated and need to be predicted simultaneously. In this paper, we focus on studying the collective classification problem in heterogeneous networks, which involves multiple types of data objects interconnected by multiple types of links. Intuitively, two objects are correlated i...